A new approach for drought index adjustment to clay-shrinkage-induced subsidence over France:  advantages of the interactive leaf area index

Barthelemy, Sophie; Bonan, Bertrand; Calvet, Jean-Christophe; Grandjean, Gilles; Moncoulon, David; Kapsambelis, Dorothée; Bernardie, Séverine

doi:https://doi.org/10.5194/nhess-24-999-2024

Articles | Volume 24, issue 3

https://doi.org/10.5194/nhess-24-999-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Drought, society, and ecosystems (NHESS/BG/GC/HESS inter-journal...

https://doi.org/10.5194/nhess-24-999-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 3

Research article

|

21 Mar 2024

Research article |

| 21 Mar 2024

A new approach for drought index adjustment to clay-shrinkage-induced subsidence over France: advantages of the interactive leaf area index

Sophie Barthelemy, Bertrand Bonan, Jean-Christophe Calvet, Gilles Grandjean, David Moncoulon, Dorothée Kapsambelis, and Séverine Bernardie

Supplement

https://doi.org/10.5194/nhess-24-999-2024-supplement

Data sets

Exposure of detached houses to clay shrinkage over France by municipality MTES https://www.statistiques.developpement-durable.gouv.fr/nouveau-zonage-dexposition-au-retrait-gonflement-des-argiles-plus-de-104-millions-de-maisons

A new drought index fitted to clay shrinkage induced subsidence over France: benefits of interactive leaf area index, Barthelemy et al. 2023 -- Figure data S. Barthelemy https://doi.org/10.6084/m9.figshare.23559507.v1

Model code and software

SURFEX code CNRM http://www.umr-cnrm.fr/surfex/data/OPEN-SURFEX/open_surfex_v8_1_20210914.tar.gz

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Short summary

This work presents a drought index specifically adapted to subsidence, a seasonal phenomenon of soil shrinkage that occurs frequently in France and damages buildings. The index is computed from land surface model simulations and evaluated by a rank correlation test with insurance data. With its optimal configuration, the index is able to identify years of both zero and significant loss.